Prof.Tae-Kyun (T-K) Kim🎓︎

Korea Advanced Institute of Science and Technology (KAIST), Korea

Bio: Tae-Kyun (T-K) Kim is Professor and the director of Computer Vision and Learning Lab at School of Computing, KAIST since 2020, and has been an adjunct reader of Imperial College London (ICL), UK for 2020-2024. He led Computer Vision and Learning Lab at Imperial College during 2010-2020. He obtained his PhD from Univ. of Cambridge in 2008 and Junior Research Fellowship (governing body) of Sidney Sussex College, Univ. of Cambridge during 2007-2010. His BSc and MSc are from KAIST in 1998 and 2000, he worked at Samsung AIT for 2000-2004 (military duty). His research interests primarily lie in machine (deep) learning for 3D computer vision, generative AI and AI with Physics, including: articulated 3D hand/body reconstruction, face analysis and recognition, 6D object pose estimation, activity recognition, object detection/tracking, active robot vision, which lead to novel active and interactive visual sensing. He has co-authored over 120 academic papers in top-tier conferences and journals in the field, and has co-organised series of HANDS workshops and 6D Object Pose workshops (in conjunction with CVPR/ICCV/ECCV) since 2015 to 2020. He was the general chair of BMVC17 in London, the program co-chair of BMVC23, and is Associate Editor of IEEE Trans on PAMI, Pattern Recognition Journal, Image and Vision Computing Journal. He regularly serves as an (Senior) Area Chair for top-tier vision/ML conferences. He received KUKA best service robotics paper award at ICRA 2014, and 2016 best paper award by the ASCE Journal of Computing, and the best paper finalist at CVPR 2020, and his co-authored algorithm for face image representation is an international standard of MPEG-7 ISO/IEC.

Title: To be determined ...

Prof. Kaili Shao🎓︎

Huanghe University of Science and Technology, China

Bio: Shao Kaili is a Professor, Ph.D., Master's Supervisor, and Director of the Science and Education Center for Big Data and Computer Science, recognized as a Distinguished Teaching Teacher of Henan Province. Her research focuses on Internet of Things (IoT) technology and applications, as well as software engineering, and she teaches courses including Database Systems and Applications and Software Testing. She has received the Second Prize in the Henan Provincial Education System Teaching Skills Competition and the Top Award for Teaching Achievements of Zhengzhou City. In her academic career, she has led or participated in over 30 research projects, including those under the "Eleventh Five-Year" National Key Technology R&D Program, the National Social Science Fund of China, and various provincial-level initiatives. She has published more than 30 academic papers, been granted 8 national patents, and edited or co-edited 7 monographs or textbooks, while also earning 8 awards for outstanding scientific research achievements from the China Society of Logistics and the Department of Education of Henan Province.

Title: To be determined ...